A prospective study comparing the quality of coronary computed tomography angiography images from photon counting and energy integrating detector systems
CONCLUSION: Both CT systems exhibited high CCTA image quality. The sharpness of calcifications was rated significantly higher for PCD-CT. A good correlation was observed between the AS derived from the two systems.PMID:37735891 | DOI:10.1177/02841851231199384 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Susann Skoog Michael Sandborg Lilian Henriksson M årten Sandstedt H åkan Gustafsson Anders Persson Source Type: research
Machine learning models based on multi-parameter MRI radiomics for prediction of molecular glioblastoma: a new study based on the 2021 World Health Organization classification
CONCLUSION: Machine learning models can predict mGBM non-invasively, which may help to develop personalized treatment strategies for neurosurgeons and provide an effective tool for accurate stratification in clinical trials.PMID:37735892 | DOI:10.1177/02841851231199744 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Xin Kong Yu Mao Yuqi Luo Fengjun Xi Yan Li Jun Ma Source Type: research
A prospective study comparing the quality of coronary computed tomography angiography images from photon counting and energy integrating detector systems
CONCLUSION: Both CT systems exhibited high CCTA image quality. The sharpness of calcifications was rated significantly higher for PCD-CT. A good correlation was observed between the AS derived from the two systems.PMID:37735891 | DOI:10.1177/02841851231199384 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Susann Skoog Michael Sandborg Lilian Henriksson M årten Sandstedt H åkan Gustafsson Anders Persson Source Type: research
Machine learning models based on multi-parameter MRI radiomics for prediction of molecular glioblastoma: a new study based on the 2021 World Health Organization classification
CONCLUSION: Machine learning models can predict mGBM non-invasively, which may help to develop personalized treatment strategies for neurosurgeons and provide an effective tool for accurate stratification in clinical trials.PMID:37735892 | DOI:10.1177/02841851231199744 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Xin Kong Yu Mao Yuqi Luo Fengjun Xi Yan Li Jun Ma Source Type: research
A prospective study comparing the quality of coronary computed tomography angiography images from photon counting and energy integrating detector systems
CONCLUSION: Both CT systems exhibited high CCTA image quality. The sharpness of calcifications was rated significantly higher for PCD-CT. A good correlation was observed between the AS derived from the two systems.PMID:37735891 | DOI:10.1177/02841851231199384 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Susann Skoog Michael Sandborg Lilian Henriksson M årten Sandstedt H åkan Gustafsson Anders Persson Source Type: research
Machine learning models based on multi-parameter MRI radiomics for prediction of molecular glioblastoma: a new study based on the 2021 World Health Organization classification
CONCLUSION: Machine learning models can predict mGBM non-invasively, which may help to develop personalized treatment strategies for neurosurgeons and provide an effective tool for accurate stratification in clinical trials.PMID:37735892 | DOI:10.1177/02841851231199744 (Source: Acta Radiologica)
Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Xin Kong Yu Mao Yuqi Luo Fengjun Xi Yan Li Jun Ma Source Type: research
Diagnostic performance of two versions of an artificial intelligence system in interval breast cancer detection
CONCLUSION: The present study showed that Tranpara v1.7 has a higher specificity, sensitivity and diagnostic performance in IBC determination than v1.6. AI systems can be used in breast screening as a secondary or third reader in screening programs.PMID:37722761 | DOI:10.1177/02841851231200785 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Levent Çelik Davut Can G üner Ömer Özçağlayan Rahmi Çubuk Mustafa Erkin Ar ıbal Source Type: research
Bone marrow edema at ligament insertion is an accurate MRI sign of deltoid ligament injury
CONCLUSION: BMELI can reliably indicate concomitant injury to the DL in CAI patients. Using BMELI as a sign of chronic DL injury when ALMC is unclear may reduce the risk of a false negative diagnosis.PMID:37722764 | DOI:10.1177/02841851231197508 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Jiahui Tong Hong Li Hongyun Li Yinghui Hua Source Type: research
Amide proton transfer-weighted imaging of pediatric brainstem glioma and its predicted value for H3 K27 alteration
CONCLUSION: APTw imaging may serve as an imaging biomarker for H3 K27 alteration of pedBSGs.PMID:37722801 | DOI:10.1177/02841851231197503 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Dan Cheng Zhizheng Zhuo Peng Zhang Liying Qu Yunyun Duan Xiaolu Xu Cong Xie Xing Liu Sven Haller Frederik Barkhof Liwei Zhang Yaou Liu Source Type: research
Reliability of tomographic 3D ultrasound in measuring internal carotid artery plaque volume
CONCLUSION: t3DUS is a reproducible imaging method and showed excellent agreement with the reference standard with respect to measuring CPV. These findings suggest that t3DUS has the potential to be a valuable non-invasive tool for assessing carotid plaque burden and predicting the risk of stroke.PMID:37722861 | DOI:10.1177/02841851231199222 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Adel Alzahrani Salahaden R Sultan Mohammed Aslam Source Type: research
Diagnostic performance of two versions of an artificial intelligence system in interval breast cancer detection
CONCLUSION: The present study showed that Tranpara v1.7 has a higher specificity, sensitivity and diagnostic performance in IBC determination than v1.6. AI systems can be used in breast screening as a secondary or third reader in screening programs.PMID:37722761 | DOI:10.1177/02841851231200785 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Levent Çelik Davut Can G üner Ömer Özçağlayan Rahmi Çubuk Mustafa Erkin Ar ıbal Source Type: research
Bone marrow edema at ligament insertion is an accurate MRI sign of deltoid ligament injury
CONCLUSION: BMELI can reliably indicate concomitant injury to the DL in CAI patients. Using BMELI as a sign of chronic DL injury when ALMC is unclear may reduce the risk of a false negative diagnosis.PMID:37722764 | DOI:10.1177/02841851231197508 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Jiahui Tong Hong Li Hongyun Li Yinghui Hua Source Type: research
Amide proton transfer-weighted imaging of pediatric brainstem glioma and its predicted value for H3 K27 alteration
CONCLUSION: APTw imaging may serve as an imaging biomarker for H3 K27 alteration of pedBSGs.PMID:37722801 | DOI:10.1177/02841851231197503 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Dan Cheng Zhizheng Zhuo Peng Zhang Liying Qu Yunyun Duan Xiaolu Xu Cong Xie Xing Liu Sven Haller Frederik Barkhof Liwei Zhang Yaou Liu Source Type: research
Reliability of tomographic 3D ultrasound in measuring internal carotid artery plaque volume
CONCLUSION: t3DUS is a reproducible imaging method and showed excellent agreement with the reference standard with respect to measuring CPV. These findings suggest that t3DUS has the potential to be a valuable non-invasive tool for assessing carotid plaque burden and predicting the risk of stroke.PMID:37722861 | DOI:10.1177/02841851231199222 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Adel Alzahrani Salahaden R Sultan Mohammed Aslam Source Type: research
Diagnostic performance of two versions of an artificial intelligence system in interval breast cancer detection
CONCLUSION: The present study showed that Tranpara v1.7 has a higher specificity, sensitivity and diagnostic performance in IBC determination than v1.6. AI systems can be used in breast screening as a secondary or third reader in screening programs.PMID:37722761 | DOI:10.1177/02841851231200785 (Source: Acta Radiologica)
Source: Acta Radiologica - September 18, 2023 Category: Radiology Authors: Levent Çelik Davut Can G üner Ömer Özçağlayan Rahmi Çubuk Mustafa Erkin Ar ıbal Source Type: research
